Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

Ismail Marouani (), Tawfik Guesmi, Badr M. Alshammari, Khalid Alqunun, Ahmed S. Alshammari, Saleh Albadran, Hsan Hadj Abdallah and Salem Rahmani
Additional contact information
Ismail Marouani: Control & Energy Management Laboratory, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia
Tawfik Guesmi: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 55476, Saudi Arabia
Badr M. Alshammari: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 55476, Saudi Arabia
Khalid Alqunun: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 55476, Saudi Arabia
Ahmed S. Alshammari: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 55476, Saudi Arabia
Saleh Albadran: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 55476, Saudi Arabia
Hsan Hadj Abdallah: Control & Energy Management Laboratory, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia
Salem Rahmani: Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technologies of Tunis, University of Tunis El-Manar, Tunis 1006, Tunisia

Sustainability, 2023, vol. 15, issue 12, 1-58

Abstract: The use of FACTS devices in power systems has become increasingly popular in recent years, as they offer a number of benefits, including improved voltage profile, reduced power losses, and increased system reliability and safety. However, determining the optimal type, location, and size of FACTS devices can be a challenging optimization problem, as it involves mixed integer, nonlinear, and nonconvex constraints. To address this issue, researchers have applied various optimization techniques to determine the optimal configuration of FACTS devices in power systems. The paper provides an in-depth and comprehensive review of the various optimization techniques that have been used in published works in this field. The review classifies the optimization techniques into four main groups: classical optimization techniques, metaheuristic methods, analytic methods, and mixed or hybrid methods. Classical optimization techniques are conventional optimization approaches that are widely used in optimization problems. Metaheuristic methods are stochastic search algorithms that can be effective for nonconvex constraints. Analytic methods involve sensitivity analysis and gradient-based optimization techniques. Mixed or hybrid methods combine different optimization techniques to improve the solution quality. The paper also provides a performance comparison of these different optimization techniques, which can be useful in selecting an appropriate method for a specific problem. Finally, the paper offers some advice for future research in this field, such as developing new optimization techniques that can handle the complexity of the optimization problem and incorporating uncertainties into the optimization model. Overall, the paper provides a valuable resource for researchers and practitioners in the field of power systems optimization, as it summarizes the various optimization techniques that have been used to solve the FACTS optimization problem and provides insights into their performance and applicability.

Keywords: FACTS devices; FACTS optimization problem; conventional optimization techniques; metaheuristic methods; sensitive index methods; mixed methods (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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